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Microeconometrics : methods and applications / A. Colin Cameron, Pravin K. Trivedi.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: New York : Cambridge University Press, 2005.Description: xxii, 1034 páginas : tablas, gráficas ; 27 cmContent type:
  • Texto
Media type:
  • Sin mediación
Carrier type:
  • Volumen
ISBN:
  • 0521848059
  • 9780521848053
Subject(s): DDC classification:
  • 338.5015195  C15m  21
Other classification:
  • B22
Contents:
I. Preliminaries ; 1. Overview ; 2. Causal and non-causal models ; 3. Microeconomic data structures -- II. Core methods ; 4. Linear models ; 5. Maximun likelihood and nonlinear least-squares estimation ; 6. Generalized method of moments and systems estimation ; 7. Hypothesis tests ; 8. Specification tests and model selection ; 9. Semiparametric methods ; 10. Numerical optimization -- III. Simulation-based methods ; 11. Bootstrap methods ; 12. Simulation-based methods ; 13. Bayesian methods -- IV. Models for cross-section data ; 14. Binary outcome models ; 15. Multinomial models ; 16. Tobit and selection models ; 17. Transition data. survival analysis ; 18. Mixture models and unobserved heterogeneity ; 19. Models of multiple hazards ; 20. Models of count data -- V. Models for panel data ; 21. Linear panel models. basics ; 22. Linear panel models. extensions ; 23. Nonlinear panel models -- VI. Further topics ; 24. Stratified and clustered samples ; 25. Treatment evaluation ;26. Measurement error models ; 27. Missing data and imputation ; A. Asymptotic theory ; B. Making pseudo-random draw."
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Holdings
Item type Home library Call number Status Notes Date due Barcode Item holds
LIBRO FISICO Biblioteca Principal 338.5015195 C15m (Browse shelf(Opens below)) Available Mantener en colección 29004018998749
Total holds: 0

Incluye referencias bibliográficas (páginas 961-997) e índices.

I. Preliminaries ; 1. Overview ; 2. Causal and non-causal models ; 3. Microeconomic data structures -- II. Core methods ; 4. Linear models ; 5. Maximun likelihood and nonlinear least-squares estimation ; 6. Generalized method of moments and systems estimation ; 7. Hypothesis tests ; 8. Specification tests and model selection ; 9. Semiparametric methods ; 10. Numerical optimization -- III. Simulation-based methods ; 11. Bootstrap methods ; 12. Simulation-based methods ; 13. Bayesian methods -- IV. Models for cross-section data ; 14. Binary outcome models ; 15. Multinomial models ; 16. Tobit and selection models ; 17. Transition data. survival analysis ; 18. Mixture models and unobserved heterogeneity ; 19. Models of multiple hazards ; 20. Models of count data -- V. Models for panel data ; 21. Linear panel models. basics ; 22. Linear panel models. extensions ; 23. Nonlinear panel models -- VI. Further topics ; 24. Stratified and clustered samples ; 25. Treatment evaluation ;26. Measurement error models ; 27. Missing data and imputation ; A. Asymptotic theory ; B. Making pseudo-random draw."

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